This project focuses on the migration of eleven industrial plants in the Long Products segment of ArcelorMittal to the PI System. We detail the journey, phases, methodologies, and challenges encountered throughout the project management process. A key aspect of our development involved utilizing artificial intelligence tools to facilitate the migration from a different PIMS to the PI System, significantly reducing the workload associated with transferring artifacts such as tags, queries and displays.
Particularly noteworthy is the successful transfer of two distinct Condition-Based Monitoring [CBM] applications into the PI Asset Framework [AF]. As a result, the maintenance team benefited from improved monitoring capabilities, leading to more informed decision-making and proactive maintenance strategies.